﻿* Encoding: UTF-8.
* Belief accuracy (message-relevant) - higher values indicate more accurate beliefs

**Wave 1

RECODE BELIEFb_W1 BELIEFd_W1 (4=1) (3=2) (2=3) (1=4) (ELSE=COPY) INTO BELIEFb_W1r BELIEFd_W1r.
EXECUTE.

COMPUTE BAmes_W1 = (BELIEFa_W1 + BELIEFb_W1r + BELIEFc_W1 + BELIEFd_W1r + BELIEFe_W1 + BELIEFf_W1)/6.
EXECUTE.
VAR LAB BAmes_W1 'Belief accuracy - Wave 1'.

RELIABILITY 
  /VARIABLES=BELIEFa_W1 BELIEFb_W1r BELIEFc_W1 BELIEFd_W1r BELIEFe_W1 BELIEFf_W1
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Wave 2

RECODE BELIEFb_W2 BELIEFd_W2 (4=1) (3=2) (2=3) (1=4) (ELSE=COPY) INTO BELIEFb_W2r BELIEFd_W2r.
EXECUTE.

COMPUTE BAmes_W2 = (BELIEFa_W2 + BELIEFb_W2r + BELIEFc_W2 + BELIEFd_W2r + BELIEFe_W2 + BELIEFf_W2)/6.
EXECUTE.
VAR LAB BAmes_W2 'Belief accuracy - Wave 2'.

RELIABILITY 
  /VARIABLES=BELIEFa_W2 BELIEFb_W2r BELIEFc_W2 BELIEFd_W2r BELIEFe_W2 BELIEFf_W2
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Wave 3

RECODE BELIEFb_W3 BELIEFd_W3 (4=1) (3=2) (2=3) (1=4) (ELSE=COPY) INTO BELIEFb_W3r BELIEFd_W3r.
EXECUTE.

COMPUTE BAmes_W3 = (BELIEFa_W3 + BELIEFb_W3r + BELIEFc_W3 + BELIEFd_W3r + BELIEFe_W3 + BELIEFf_W3)/6.
EXECUTE.
VAR LAB BAmes_W3 'Belief accuracy - Wave 3'.

RELIABILITY 
  /VARIABLES=BELIEFa_W3 BELIEFb_W3r BELIEFc_W3 BELIEFd_W3r BELIEFe_W3 BELIEFf_W3
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

* Belief accuracy (unrelated to message) - higher values indicate more accurate beliefs

**Wave 1

RECODE BELIEFg_W1 BELIEFi_W1 (1=4) (2=3) (3=2) (4=1) (ELSE=COPY) into BELIEFg_W1r BELIEFi_W1r.
EXECUTE.

COMPUTE BAun_W1 = (BELIEFg_W1r + BELIEFh_W1 + BELIEFi_W1r + BELIEFj_W1)/4.
EXECUTE.
VAR LAB BAun_W1 'Belief accuracy, unrelated - Wave 1'.

RELIABILITY 
  /VARIABLES=BELIEFg_W1r BELIEFh_W1 BELIEFi_W1r BELIEFj_W1
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Wave 2

RECODE BELIEFg_W2 BELIEFi_W2 (1=4) (2=3) (3=2) (4=1) (ELSE=COPY) into BELIEFg_W2r BELIEFi_W2r.
EXECUTE.

COMPUTE BAun_W2 = (BELIEFg_W2r + BELIEFh_W2 + BELIEFi_W2r + BELIEFj_W2)/4.
EXECUTE.
VAR LAB BAun_W2 'Belief accuracy, unrelated - Wave 2'.

RELIABILITY 
  /VARIABLES=BELIEFg_W2r BELIEFh_W2 BELIEFi_W2r BELIEFj_W2
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Wave 3

RECODE BELIEFg_W3 BELIEFi_W3 (1=4) (2=3) (3=2) (4=1) (ELSE=COPY) into BELIEFg_W3r BELIEFi_W3r.
EXECUTE.

COMPUTE BAun_W3 = (BELIEFg_W3r + BELIEFh_W3 + BELIEFi_W3r + BELIEFj_W3)/4.
EXECUTE.
VAR LAB BAun_W3 'Belief accuracy, unrelated - Wave 3'.

RELIABILITY 
  /VARIABLES=BELIEFg_W3r BELIEFh_W3 BELIEFi_W3r BELIEFj_W3
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

*Belief certainty (message-relevant only)

RECODE CERTAINa_W1 CERTAINb_W1 CERTAINc_W1 CERTAINd_W1 CERTAINe_W1 CERTAINf_W1 CERTAINg_W1 CERTAINh_W1 CERTAINi_W1 CERTAINj_W1 CERTAINk_W1 CERTAINl_W1 CERTAINm_W1
    CERTAINn_W1 CERTAINo_W1 CERTAINa_W2 CERTAINb_W2 CERTAINc_W2 CERTAINd_W2 CERTAINe_W2 CERTAINf_W2 CERTAINg_W2 CERTAINh_W2 CERTAINi_W2 CERTAINj_W2 CERTAINk_W2 
    CERTAINl_W2 CERTAINm_W2 CERTAINn_W2 CERTAINo_W2 CERTAINa_W3 CERTAINb_W3 CERTAINc_W3 CERTAINd_W3 CERTAINe_W3 CERTAINf_W3 CERTAINg_W3 CERTAINh_W3 CERTAINi_W3 
    CERTAINj_W3 CERTAINk_W3 CERTAINl_W3 CERTAINm_W3 CERTAINn_W3 CERTAINo_W3 (5=4).
EXECUTE.

*Wave 1

COMPUTE BC_W1 = (CERTAINa_W1 + CERTAINb_W1 + CERTAINc_W1 + CERTAINd_W1 + CERTAINe_W1 + CERTAINf_W1)/6.
EXECUTE.
VAR LAB BC_W1 'Belief certainty - Wave 1'.

RELIABILITY 
  /VARIABLES=CERTAINa_W1 CERTAINb_W1 CERTAINc_W1 CERTAINd_W1 CERTAINe_W1 CERTAINf_W1
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

*Wave 2

COMPUTE BC_W2 = (CERTAINa_W2 + CERTAINb_W2 + CERTAINc_W2 + CERTAINd_W2 + CERTAINe_W2 + CERTAINf_W2)/6.
EXECUTE.
VAR LAB BC_W2 'Belief certainty - Wave 2'.

RELIABILITY 
  /VARIABLES=CERTAINa_W2 CERTAINb_W2 CERTAINc_W2 CERTAINd_W2 CERTAINe_W2 CERTAINf_W2
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

* Wave 3

COMPUTE BC_W3 = (CERTAINa_W3 + CERTAINb_W3 + CERTAINc_W3 + CERTAINd_W3 + CERTAINe_W3 + CERTAINf_W3)/6.
EXECUTE.
VAR LAB BC_W3 'Belief certainty - Wave 3'.

RELIABILITY 
  /VARIABLES=CERTAINa_W3 CERTAINb_W3 CERTAINc_W3 CERTAINd_W3 CERTAINe_W3 CERTAINf_W3
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.
 
*Message combinations - Indicate combinations of message treatments; done by hand

*Correction of control?

RECODE COND_W1 (1=0) (2=1) (3=1) INTO CORR_W1.
RECODE COND_W2 (1=0) (2=1) (3=1) INTO CORR_W2.
EXECUTE.
COMPUTE CORR_W1xW2 = CORR_W1*CORR_W2.
EXECUTE.

*Illegal immigration attitudes - recoded such that higher values indicate more positive feelings toward illegal immigrants

**Wave 1

RECODE ATT4_1_1 ATT4_1_3 ATT4_1_5 ATT4_1_8 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) (ELSE=COPY) INTO ATT4_1_1r ATT4_1_3r ATT4_1_5r ATT4_1_8r.
EXECUTE.

COMPUTE ILL_ATT_W1 = (ATT4_1_1r + ATT4_1_2 + ATT4_1_3r + ATT4_1_4 + ATT4_1_5r + ATT4_1_6 + ATT4_1_7 + ATT4_1_8r + ATT4_1_9 + ATT4_1_10)/10.
EXECUTE.
VAR LAB ILL_ATT_W1 'Illegal immigration attitudes - Wave 1'.

RELIABILITY 
  /VARIABLES=ATT4_1_2 ATT4_1_4 ATT4_1_6 ATT4_1_7 ATT4_1_9 ATT4_1_10 ATT4_1_1r ATT4_1_3r ATT4_1_5r 
    ATT4_1_8r 
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Wave 2

RECODE ATT4_2_1 ATT4_2_3 ATT4_2_5 ATT4_2_8 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) (ELSE=COPY) INTO ATT4_2_1r ATT4_2_3r ATT4_2_5r ATT4_2_8r.
EXECUTE.

COMPUTE ILL_ATT_W2 = (ATT4_2_1r + ATT4_2_2 + ATT4_2_3r + ATT4_2_4 + ATT4_2_5r + ATT4_2_6 + ATT4_2_7 + ATT4_2_8r + ATT4_2_9 + ATT4_2_10)/10.
EXECUTE.
VAR LAB ILL_ATT_W2 'Illegal immigration attitudes - Wave 2'.

RELIABILITY 
  /VARIABLES=ATT4_2_2 ATT4_2_4 ATT4_2_6 ATT4_2_7 ATT4_2_9 ATT4_2_10 ATT4_2_1r ATT4_2_3r ATT4_2_5r 
    ATT4_2_8r 
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Wave 3

RECODE ATT4_3_1 ATT4_3_3 ATT4_3_5 ATT4_3_8 (7=1) (6=2) (5=3) (4=4) (3=5) (2=6) (1=7) (ELSE=COPY) INTO ATT4_3_1r ATT4_3_3r ATT4_3_5r ATT4_3_8r.
EXECUTE.

COMPUTE ILL_ATT_W3 = (ATT4_3_1r + ATT4_3_2 + ATT4_3_3r + ATT4_3_4 + ATT4_3_5r + ATT4_3_6 + ATT4_3_7 + ATT4_3_8r + ATT4_3_9 + ATT4_3_10)/10.
EXECUTE.
VAR LAB ILL_ATT_W3 'Illegal immigration attitudes - Wave 3'.

RELIABILITY 
  /VARIABLES=ATT4_3_2 ATT4_3_4 ATT4_3_6 ATT4_3_7 ATT4_3_9 ATT4_3_10 ATT4_3_1r ATT4_3_3r ATT4_3_5r 
    ATT4_3_8r 
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

*Online versus memory-based dummy variable (memory-based=1)

RECODE OLMB_W1 (1=0) (2=1) (ELSE=COPY) INTO MBd.
EXECUTE.
VAR LAB MBd 'Memory-based dummy'.

*Interaction of immigration attitudes with processing condition (MBd) - Wave 1

COMPUTE IIATTxMB = ILL_ATT_W1*MBd.
EXECUTE.
VAR LAB IIATTxMB 'Interaction of W1 illegal immigration attitudes and memory-based dummy'.

*Interaction of immigration attitudes with corrective message exposure

**Wave 1

COMPUTE IIATTxCORR_W1 = ILL_ATT_W1*CORR_W1.
EXECUTE.

**Wave 2

COMPUTE IIATTxCORR_W2 = ILL_ATT_W1*CORR_W2.
EXECUTE.

*Opinions of story (regardless of message treatment) - higher values indicate more favorable opinions

** Wave 1

RECODE STORY_1_1 STORY_1_2 STORY_1_4 (1=7) (2=6) (3=5) (4=4) (5=3) (6=2) (7=1) (ELSE=COPY) INTO STORY_1_1r STORY_1_2r STORY_1_4r.
EXECUTE.

COMPUTE STORY_W1 = (STORY_1_1r + STORY_1_2r + STORY_1_3 + STORY_1_4r + STORY_1_5)/5.
EXECUTE.
VAR LAB STORY_W1 'Story perceptions - Wave 1'.

RELIABILITY 
  /VARIABLES=STORY_1_1r STORY_1_2r STORY_1_3 STORY_1_4r STORY_1_5
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Wave 2

RECODE STORY_2_1 STORY_2_2 STORY_2_4 (1=7) (2=6) (3=5) (4=4) (5=3) (6=2) (7=1) (ELSE=COPY) INTO STORY_2_1r STORY_2_2r STORY_2_4r.
EXECUTE.

COMPUTE STORY_W2 = (STORY_2_1r + STORY_2_2r + STORY_2_3 + STORY_2_4r + STORY_2_5)/5.
EXECUTE.
VAR LAB STORY_W2 'Story perceptions - Wave 2'.

RELIABILITY 
  /VARIABLES=STORY_2_1r STORY_2_2r STORY_2_3 STORY_2_4r STORY_2_5
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

*Opinions of source (regardless of message treatment) - higher values indicate more favorable opinions

**Wave 1

RECODE SOURCE_1_1 SOURCE_1_2 SOURCE_1_4 (1=7) (2=6) (3=5) (4=4) (5=3) (6=2) (7=1) (ELSE=COPY) INTO SOURCE_1_1r SOURCE_1_2r SOURCE_1_4r.
EXECUTE.

COMPUTE SOURCE_W1 = (SOURCE_1_1r + SOURCE_1_2r + SOURCE_1_3 + SOURCE_1_4r + SOURCE_1_5)/5.
EXECUTE.
VAR LAB SOURCE_W1 'Source perceptions - Wave 1'.

RELIABILITY 
  /VARIABLES=SOURCE_1_1r SOURCE_1_2r SOURCE_1_3 SOURCE_1_4r SOURCE_1_5
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Wave 2

RECODE SOURCE_2_1 SOURCE_2_2 SOURCE_2_4 (1=7) (2=6) (3=5) (4=4) (5=3) (6=2) (7=1) (ELSE=COPY) INTO SOURCE_2_1r SOURCE_2_2r SOURCE_2_4r.
EXECUTE.

COMPUTE SOURCE_W2 = (SOURCE_2_1r + SOURCE_2_2r + SOURCE_2_3 + SOURCE_2_4r + SOURCE_2_5)/5.
EXECUTE.
VAR LAB SOURCE_W2 'Source perceptions - Wave 2'.

RELIABILITY 
  /VARIABLES=SOURCE_2_1r SOURCE_2_2r SOURCE_2_3 SOURCE_2_4r SOURCE_2_5
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

*Media use measures

**TV News

RECODE MED1_1 (1=1) (ELSE=0) INTO TVnews_d.
EXECUTE.
VAR LAB TVnews_d 'TV news users'.

**TV News - FOX News

RECODE TV1_3 (1=1) (ELSE=0) INTO FOXtv_d.
EXECUTE.
VAR LAB FOXtv_d 'FOX News viewers'.

**TV News - MSNBC

RECODE TV1_2 (1=1) (ELSE=0) INTO MSNBCtv_d.
EXECUTE.
VAR LAB MSNBCtv_d 'MSNBC viewers'.

**TV News - CNN

RECODE TV1_1 (1=1) (ELSE=0) INTO CNNtv_d.
EXECUTE.
VAR LAB CNNtv_d 'CNN viewers'.

**TV News - Conservative talk

RECODE TV1_7 (1=1) (ELSE=0) INTO CONtalk_d.
EXECUTE.
VAR LAB CONtalk_d 'Conservative talk show viewers'.

**TV News - Liberal talk

RECODE TV1_8 (1=1) (ELSE=0) INTO LIBtalk_d.
EXECUTE.
VAR LAB LIBtalk_d 'Liberal talk show viewers'.

**Online news - Liberal

RECODE WEB1_1 WEB1_2 WEB1_3 WEB1_4 WEB1_5 WEB1_6 WEB1_7 WEB1_8 WEB1_9 WEB1_10 WEB1_11 WEB1_12 (1=1) (ELSE=0) INTO WEBlib1 WEBlib2 WEBlib3 WEBlib4 WEBlib5 WEBlib6 WEBlib7
    WEBlib8 WEBlib9 WEBlib10 WEBlib11 WEBlib12.
EXECUTE.

COMPUTE WEBlib = WEBlib1 + WEBlib2 + WEBlib3 + WEBlib4 + WEBlib5 + WEBlib6 + WEBlib7 + WEBlib8 + WEBlib9 + WEBlib10 + WEBlib11 + WEBlib12.
EXECUTE.
VAR LAB WEBlib 'Number of liberal websites visited'.

**Online news - Conservative

RECODE WEB1_13 WEB1_14 WEB1_15 WEB1_16 WEB1_17 WEB1_18 WEB1_19 WEB1_20 WEB1_21 WEB1_22 WEB1_23 WEB1_24 (1=1) (ELSE=0) INTO WEBcon1 WEBcon2 WEBcon3 WEBcon4 WEBcon5 
    WEBcon6 WEBcon7 WEBcon8 WEBcon9 WEBcon10 WEBcon11 WEBcon12.
EXECUTE.

COMPUTE WEBcon = WEBcon1 + WEBcon2 + WEBcon3 + WEBcon4 + WEBcon5 + WEBcon6 + WEBcon7 + WEBcon8 + WEBcon9 + WEBcon10 + WEBcon11 + WEBcon12.
EXECUTE.
VAR LAB WEBcon 'Number of conservative websites visited'.

**Online news - Neutral

RECODE WEB1_25 WEB1_26 WEB1_27 WEB1_28 WEB1_29 WEB1_30 WEB1_31 WEB1_32 WEB1_33 WEB1_34 WEB1_35 WEB1_36 (1=1) (ELSE=0) INTO WEBneu1 WEBneu2 WEBneu3 WEBneu4 WEBneu5 
    WEBneu6 WEBneu7 WEBneu8 WEBneu9 WEBneu10 WEBneu11 WEBneu12.
EXECUTE.

COMPUTE WEBneu = WEBneu1 + WEBneu2 + WEBneu3 + WEBneu4 + WEBneu5 + WEBneu6 + WEBneu7 + WEBneu8 + WEBneu9 + WEBneu10 + WEBneu11 + WEBneu12.
EXECUTE.
VAR LAB WEBneu 'Number of neutral websites visited'.

DO IF (StartDate_T3 = $SYSMIS).
RECODE WEBneu WEBcon WEBlib CNNtv_d FOXtv_d MSNBCtv_d (0=SYSMIS).
END IF.

**Social media use

***Social media for news - dichotomous

RECODE MED1_7 (1=1) (ELSE=0) INTO SMnews_d.
EXECUTE.
VAR LAB SMnews_d 'Users of social media for news - dichotomous'.

***Social media for news - scale

COMPUTE SMnews_c = (SM3_1 + SM3_2 + SM3_3 + SM3_4 + SM3_5 + SM3_6)/6.
EXECUTE.
VAR LAB SMnews_c 'Users of social media for news - continuous'.

RELIABILITY 
  /VARIABLES=SM3_1 SM3_2 SM3_3 SM3_4 SM3_5 SM3_6
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

DO IF (SMnews_d = 0).
RECODE SMnews_c (SYSMIS=0).
END IF.
EXECUTE.

***Social media engagement

COMPUTE SMeng_c = (SM4_1 + SM4_2 + SM4_3 + SM4_4 + SM4_5 + SM4_6 + SM4_7)/7.
EXECUTE.
VAR LAB SMeng_c 'Political engagement on social media'.

RELIABILITY 
  /VARIABLES=SM4_1 SM4_2 SM4_3 SM4_4 SM4_5 SM4_6 SM4_7
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

***Similarity in social network - higher values indicate greater similarity

RECODE SM5 (6=1) (5=2) (4=3) (3=4) (2=5) (1=6) (ELSE=COPY) INTO SMsim.
EXECUTE.
VAR LAB SMsim 'Perceived similarity with Rs online social networks'.

*Party ID and ideology

**Republican dummy

RECODE PARTY1 (8=1) (ELSE=0) INTO REPd.
EXECUTE.
VAR LAB REPd 'Republican dummy'.

**Democrat dummy

RECODE PARTY1 (4=1) (ELSE=0) INTO DEMd.
EXECUTE.
VAR LAB DEMd 'Democrat dummy'.

**Partisan strength dummy (high=1)

RECODE PARTY2 (1=1) (ELSE=0) INTO IDstr.
EXECUTE.
VAR LAB IDstr 'Partisan strength dummy'.

**Ideology - higher values indicate more conservative lean

RECODE IDEO (8=SYSMIS) (ELSE=COPY) INTO IDEOLOGY.
EXECUTE.
VAR LAB IDEOLOGY 'Self-reported political ideology'.

*Epistemic beliefs

**Trust in feelings - higher values indicate higher trust in feelings

RECODE EB_1 EB_2 EB_3 EB_4 (1=7) (2=6) (3=5) (4=4) (5=3) (6=2) (7=1) INTO EB1r EB2r EB3r EB4r.
COMPUTE TRfeel = (EB1r + EB2r + EB3r + EB4r)/4.
EXECUTE.

RELIABILITY 
  /VARIABLES=EB1r EB2r EB3r EB4r
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Need for evidence - positive values indicate higher on scale

RECODE EB_5 EB_6 EB_7 EB_8 (1=7) (2=6) (3=5) (4=4) (5=3) (6=2) (7=1) INTO EB5r EB6r EB7r EB8r.
COMPUTE NEEDev = (EB5r + EB6r + EB7r + EB8r)/4.
EXECUTE.

RELIABILITY 
  /VARIABLES=EB5r EB6r EB7r EB8r
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

**Truth in political - higher values indicate higher on scale

RECODE EB_9 EB_10 EB_11 EB_12 (1=7) (2=6) (3=5) (4=4) (5=3) (6=2) (7=1) INTO EB9r EB10r EB11r EB12r.
COMPUTE TRUTHpol = (EB9r + EB10r + EB11r + EB12r)/4.
EXECUTE.

RELIABILITY 
  /VARIABLES=EB9r EB10r EB11r EB12r
  /SCALE('ALL VARIABLES') ALL 
  /MODEL=ALPHA.

*Media diet

COMPUTE CONmed = (WEBcon + FOXtv_d + CONtalk_d).
EXECUTE.

COMPUTE LIBmed = (WEBlib + MSNBCtv_d + LIBtalk_d).
EXECUTE.

COMPUTE NEUmed = (WEBneu).
EXECUTE.

RECODE CONmed LIBmed NEUmed (0=0) (1 THRU 50=1) (ELSE=COPY) INTO CONmed_d LIBmed_d NEUmed_d.
EXECUTE.

*Interactions

COMPUTE CORR1xFOX = CORR_W1*FOXtv_d.
EXECUTE.
COMPUTE CORR2xFOX = CORR_W2*FOXtv_d.
EXECUTE.
COMPUTE CORR1xCON = CORR_W1*WEBcon.
EXECUTE.
COMPUTE CORR2xCON = CORR_W2*WEBcon.

COMPUTE CORR1xMSNBC = CORR_W1*MSNBCtv_d.
EXECUTE.
COMPUTE CORR2xMSNBC = CORR_W2*MSNBCtv_d.
EXECUTE.
COMPUTE CORR1xLIB = CORR_W1*WEBlib.
EXECUTE.
COMPUTE CORR2xLIB = CORR_W2*WEBlib.
EXECUTE.

COMPUTE CORR1xTRfeel = CORR_W1*TRfeel.
EXECUTE.
COMPUTE CORR2xTRfeel = CORR_W2*TRfeel.
EXECUTE.
COMPUTE CORR1xNEEDev = CORR_W1*NEEDev.
EXECUTE.
COMPUTE CORR2xNEEDev = CORR_W2*NEEDev.
EXECUTE.
COMPUTE CORR1xTRUTHpol = CORR_W1*TRUTHpol.
EXECUTE.
COMPUTE CORR2xTRUTHpol = CORR_W2*TRUTHpol.
EXECUTE.







